Time synchronization algorithm for high-dynamic environments

Mei Xiao; Zhongliang Deng; Gan Wang

doi:10.1117/12.3035280

19 July 2024 Time synchronization algorithm for high-dynamic environments

Mei Xiao, Zhongliang Deng, Gan Wang

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 1321316 (2024) https://doi.org/10.1117/12.3035280
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

Time synchronization is essential for ensuring the accuracy and timeliness of cooperation and communication between nodes in wireless sensor networks. However, in high-dynamic environments, the high-speed movement of sensor nodes may result in asymmetric wireless transmission links, posing a challenge for time synchronization. To address this problem, we proposes an algorithm that combines a node motion model with time synchronization and validates its effectiveness in improving clock parameters accuracy through experiments. The results show that compared to time synchronization algorithms with symmetric links, this algorithm exhibits superior applicability and synchronization accuracy in high-dynamic environments and can effectively reduce overall communication overhead.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mei Xiao, Zhongliang Deng, and Gan Wang "Time synchronization algorithm for high-dynamic environments", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 1321316 (19 July 2024); https://doi.org/10.1117/12.3035280

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